Retrieval-Augmented Generation (RAG) Patterns
RAG patterns combine document retrieval finding relevant context with generative AI producing answers. Patterns range from basic retrieve → generate to advanced agentic, iterative, federated. RAG enables LLMs to access external knowledge without fine-tuning, improving factuality and reducing hallucination by ~40% vs. raw generation. Key benefit: grounding answers in retrieved sources prevents unfounded claims.
- Radar Signals0